The IceProd framework: Distributed data processing for the IceCube neutrino observatory

IceCube is a one-gigaton instrument located at the geographic South Pole, designed to detect cosmic neutrinos, identify the particle nature of dark matter, and study high-energy neutrinos themselves. Simulation of the IceCube detector and processing of data require a significant amount of computatio...

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Published in:Journal of Parallel and Distributed Computing
Main Authors: Aartsen, M. G., Abbasi, R., Baker, M., Hebecker, D., Heereman, D., Heinen, D., Helbing, K., Hellauer, R., Hickford, S., Hill, G. C., Hoffman, K. D., Hoffmann, R., Homeier, A., Barwick, S. W., Hoshina, K., Huang, F., Huelsnitz, W., Hulth, P. O., Hultqvist, K., Hussain, S., Ishihara, A., Jacobi, E., Jacobsen, J., Jagielski, K., Baum, V., Japaridze, G. S., Jero, K., Jlelati, O., Kaminsky, B., Kappes, A., Karg, T., Karle, A., Kauer, M., Kelley, J. L., Kiryluk, J., Bay, R., Kläs, J., Klein, S. R., Köhne, J.-H., Kohnen, G., Kolanoski, H., Köpke, L., Kopper, C., Kopper, S., Koskinen, D. J., Kowalski, M., Beatty, J. J., Krasberg, M., Kriesten, A., Krings, K.
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2015
Subjects:
Online Access:https://bib-pubdb1.desy.de/record/293114
https://bib-pubdb1.desy.de/search?p=id:%22PUBDB-2016-00279%22
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spelling ftdesyvdb:oai:bib-pubdb1.desy.de:293114 2023-05-15T18:22:28+02:00 The IceProd framework: Distributed data processing for the IceCube neutrino observatory Aartsen, M. G. Abbasi, R. Baker, M. Hebecker, D. Heereman, D. Heinen, D. Helbing, K. Hellauer, R. Hickford, S. Hill, G. C. Hoffman, K. D. Hoffmann, R. Homeier, A. Barwick, S. W. Hoshina, K. Huang, F. Huelsnitz, W. Hulth, P. O. Hultqvist, K. Hussain, S. Ishihara, A. Jacobi, E. Jacobsen, J. Jagielski, K. Baum, V. Japaridze, G. S. Jero, K. Jlelati, O. Kaminsky, B. Kappes, A. Karg, T. Karle, A. Kauer, M. Kelley, J. L. Kiryluk, J. Bay, R. Kläs, J. Klein, S. R. Köhne, J.-H. Kohnen, G. Kolanoski, H. Köpke, L. Kopper, C. Kopper, S. Koskinen, D. J. Kowalski, M. Beatty, J. J. Krasberg, M. Kriesten, A. Krings, K. DE 2015 https://bib-pubdb1.desy.de/record/293114 https://bib-pubdb1.desy.de/search?p=id:%22PUBDB-2016-00279%22 eng eng Elsevier info:eu-repo/semantics/altIdentifier/wos/WOS:000346552500017 info:eu-repo/semantics/altIdentifier/issn/0743-7315 info:eu-repo/semantics/altIdentifier/arxiv/arXiv:1311.5904 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jpdc.2014.08.001 info:eu-repo/semantics/altIdentifier/issn/1096-0848 https://bib-pubdb1.desy.de/record/293114 https://bib-pubdb1.desy.de/search?p=id:%22PUBDB-2016-00279%22 info:eu-repo/semantics/openAccess Journal of parallel and distributed computing 75, 198 - 211 (2015). doi:10.1016/j.jpdc.2014.08.001 info:eu-repo/classification/ddc/004 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2015 ftdesyvdb https://doi.org/10.1016/j.jpdc.2014.08.001 2022-06-30T20:13:24Z IceCube is a one-gigaton instrument located at the geographic South Pole, designed to detect cosmic neutrinos, identify the particle nature of dark matter, and study high-energy neutrinos themselves. Simulation of the IceCube detector and processing of data require a significant amount of computational resources. This paper presents the first detailed description of IceProd, a lightweight distributed management system designed to meet these requirements. It is driven by a central database in order to manage mass production of simulations and analysis of data produced by the IceCube detector. IceProd runs as a separate layer on top of other middleware and can take advantage of a variety of computing resources, including grids and batch systems such as CREAM, HTCondor, and PBS. This is accomplished by a set of dedicated daemons that process job submission in a coordinated fashion through the use of middleware plugins that serve to abstract the details of job submission and job management from the framework. Article in Journal/Newspaper South pole DESY Publication Database (PUBDB) South Pole Journal of Parallel and Distributed Computing 75 198 211
institution Open Polar
collection DESY Publication Database (PUBDB)
op_collection_id ftdesyvdb
language English
topic info:eu-repo/classification/ddc/004
spellingShingle info:eu-repo/classification/ddc/004
Aartsen, M. G.
Abbasi, R.
Baker, M.
Hebecker, D.
Heereman, D.
Heinen, D.
Helbing, K.
Hellauer, R.
Hickford, S.
Hill, G. C.
Hoffman, K. D.
Hoffmann, R.
Homeier, A.
Barwick, S. W.
Hoshina, K.
Huang, F.
Huelsnitz, W.
Hulth, P. O.
Hultqvist, K.
Hussain, S.
Ishihara, A.
Jacobi, E.
Jacobsen, J.
Jagielski, K.
Baum, V.
Japaridze, G. S.
Jero, K.
Jlelati, O.
Kaminsky, B.
Kappes, A.
Karg, T.
Karle, A.
Kauer, M.
Kelley, J. L.
Kiryluk, J.
Bay, R.
Kläs, J.
Klein, S. R.
Köhne, J.-H.
Kohnen, G.
Kolanoski, H.
Köpke, L.
Kopper, C.
Kopper, S.
Koskinen, D. J.
Kowalski, M.
Beatty, J. J.
Krasberg, M.
Kriesten, A.
Krings, K.
The IceProd framework: Distributed data processing for the IceCube neutrino observatory
topic_facet info:eu-repo/classification/ddc/004
description IceCube is a one-gigaton instrument located at the geographic South Pole, designed to detect cosmic neutrinos, identify the particle nature of dark matter, and study high-energy neutrinos themselves. Simulation of the IceCube detector and processing of data require a significant amount of computational resources. This paper presents the first detailed description of IceProd, a lightweight distributed management system designed to meet these requirements. It is driven by a central database in order to manage mass production of simulations and analysis of data produced by the IceCube detector. IceProd runs as a separate layer on top of other middleware and can take advantage of a variety of computing resources, including grids and batch systems such as CREAM, HTCondor, and PBS. This is accomplished by a set of dedicated daemons that process job submission in a coordinated fashion through the use of middleware plugins that serve to abstract the details of job submission and job management from the framework.
format Article in Journal/Newspaper
author Aartsen, M. G.
Abbasi, R.
Baker, M.
Hebecker, D.
Heereman, D.
Heinen, D.
Helbing, K.
Hellauer, R.
Hickford, S.
Hill, G. C.
Hoffman, K. D.
Hoffmann, R.
Homeier, A.
Barwick, S. W.
Hoshina, K.
Huang, F.
Huelsnitz, W.
Hulth, P. O.
Hultqvist, K.
Hussain, S.
Ishihara, A.
Jacobi, E.
Jacobsen, J.
Jagielski, K.
Baum, V.
Japaridze, G. S.
Jero, K.
Jlelati, O.
Kaminsky, B.
Kappes, A.
Karg, T.
Karle, A.
Kauer, M.
Kelley, J. L.
Kiryluk, J.
Bay, R.
Kläs, J.
Klein, S. R.
Köhne, J.-H.
Kohnen, G.
Kolanoski, H.
Köpke, L.
Kopper, C.
Kopper, S.
Koskinen, D. J.
Kowalski, M.
Beatty, J. J.
Krasberg, M.
Kriesten, A.
Krings, K.
author_facet Aartsen, M. G.
Abbasi, R.
Baker, M.
Hebecker, D.
Heereman, D.
Heinen, D.
Helbing, K.
Hellauer, R.
Hickford, S.
Hill, G. C.
Hoffman, K. D.
Hoffmann, R.
Homeier, A.
Barwick, S. W.
Hoshina, K.
Huang, F.
Huelsnitz, W.
Hulth, P. O.
Hultqvist, K.
Hussain, S.
Ishihara, A.
Jacobi, E.
Jacobsen, J.
Jagielski, K.
Baum, V.
Japaridze, G. S.
Jero, K.
Jlelati, O.
Kaminsky, B.
Kappes, A.
Karg, T.
Karle, A.
Kauer, M.
Kelley, J. L.
Kiryluk, J.
Bay, R.
Kläs, J.
Klein, S. R.
Köhne, J.-H.
Kohnen, G.
Kolanoski, H.
Köpke, L.
Kopper, C.
Kopper, S.
Koskinen, D. J.
Kowalski, M.
Beatty, J. J.
Krasberg, M.
Kriesten, A.
Krings, K.
author_sort Aartsen, M. G.
title The IceProd framework: Distributed data processing for the IceCube neutrino observatory
title_short The IceProd framework: Distributed data processing for the IceCube neutrino observatory
title_full The IceProd framework: Distributed data processing for the IceCube neutrino observatory
title_fullStr The IceProd framework: Distributed data processing for the IceCube neutrino observatory
title_full_unstemmed The IceProd framework: Distributed data processing for the IceCube neutrino observatory
title_sort iceprod framework: distributed data processing for the icecube neutrino observatory
publisher Elsevier
publishDate 2015
url https://bib-pubdb1.desy.de/record/293114
https://bib-pubdb1.desy.de/search?p=id:%22PUBDB-2016-00279%22
op_coverage DE
geographic South Pole
geographic_facet South Pole
genre South pole
genre_facet South pole
op_source Journal of parallel and distributed computing 75, 198 - 211 (2015). doi:10.1016/j.jpdc.2014.08.001
op_relation info:eu-repo/semantics/altIdentifier/wos/WOS:000346552500017
info:eu-repo/semantics/altIdentifier/issn/0743-7315
info:eu-repo/semantics/altIdentifier/arxiv/arXiv:1311.5904
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jpdc.2014.08.001
info:eu-repo/semantics/altIdentifier/issn/1096-0848
https://bib-pubdb1.desy.de/record/293114
https://bib-pubdb1.desy.de/search?p=id:%22PUBDB-2016-00279%22
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1016/j.jpdc.2014.08.001
container_title Journal of Parallel and Distributed Computing
container_volume 75
container_start_page 198
op_container_end_page 211
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